Target tracking method based on dynamic graph matching

A target tracking and dynamic graph technology, which is applied in the field of target tracking based on dynamic graph matching, can solve the problems that the internal structure information of the tracking target cannot be effectively considered, and the precise position of the target cannot be obtained effectively.

Active Publication Date: 2013-02-13
JIANGSU R & D CENTER FOR INTERNET OF THINGS
View PDF3 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the existing target tracking method cannot effectively consider the internal structure information of the tracking target, so that when the tracking target undergoes obvious structural deformation, the precise position of the target cannot be obtained effectively

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Target tracking method based on dynamic graph matching
  • Target tracking method based on dynamic graph matching
  • Target tracking method based on dynamic graph matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0014] The present invention proposes a target tracking method based on dynamic graph matching, which mainly includes six steps: super-pixel over-segmentation, extraction of candidate target blocks, construction of undirected graph, undirected graph matching, determination of target position and Model updates. The target tracking model constructed by this method can effectively model the internal structure information of the target, so that when the target undergoes large structural deformation or occlusion, the tracking method proposed by the present invention can still accurately determine the target position.

[0015] Dividing the target into blocks is the most effective way to construct internal information, but the p...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a target tracking method based on dynamic graph matching, which is characterized in that a structural model of a dynamic graph is used for effectively tracking a target. The target tracking method mainly comprises six steps of superpixel over-segmentation, extraction of candidate target blocks, creation of an undirected graph, matching of the undirected graph, determination of a target position and updating of a model. The target tracking method has the advantages that the internal structural information of the target can be effectively modeled by using a target tracking model structured with the method, so that the target position can be still precisely determined by the tracking method when the target has greater structural deformation or is severely shielded.

Description

technical field [0001] The invention relates to the technical fields of pattern recognition and computer vision, in particular to an object tracking method based on dynamic graph matching. technical background [0002] Object tracking has many practical applications, such as human-computer interaction, video surveillance, behavior analysis and so on. But it is still not very easy to design a relatively robust tracker, because a variety of conditions will cause the tracker to not track the target effectively, such as shape deformation, appearance change, occlusion and so on. [0003] Generally speaking, most current tracking methods focus on three aspects to improve the accuracy of trackers, which are: features, representation models, and structural information. Considering the importance of feature selection, a large number of features with different characteristics are used to improve the performance of the tracker, such as pixel value, color and texture. At the same time...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 李子青雷震文珑银蔡兆伟
Owner JIANGSU R & D CENTER FOR INTERNET OF THINGS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap